Mip-NeRF da Filayen Radiance Anti-Aliased
Mip-NeRF yana gyara blur, jakunkunan kayan tarihi waɗanda ke addabar ainihin NeRF lokacin da kuke yin fage a nesa ko ƙuduri daban-daban.
Dubawa
It does this by tracing cones instead of infinitely thin rays, making 3D scene rendering both sharper and faster to train.
Zurfafa nutsewa
Asalin samfurin NeRF na asali yana ɗaukar hoto tare da hasken haske, maki ɗaya a lokaci guda, kuma yana ciyar da kowane matsayi na 3D zuwa cibiyar sadarwar jijiya. Matsalar: aya guda tana watsi da nawa wurin da pixel ke rufewa. pixel kusa da kyamara yana ganin ƙaramin yanki; pixel daya nesa yana ganin kato. Samfuran su iri ɗaya yana haifar da ƙima - fiɗa da jaggies yayin da kuke zuƙowa ko motsi. Mip-NeRF (Barron et al., 2021) yana maye gurbin kowace ray da mazugi kuma ya raba shi zuwa abubuwan takaici. Maimakon rufaffen ma'ana, yana ɓoye yanki a cikin kowane takaici ta amfani da haɗaɗɗiyar madaidaicin matsayi (IPE), yana kusantar ƙarar tare da Gaussian. Wannan yana ba da damar cibiyar sadarwa ta multiscale guda ɗaya ta ba da kowane ƙuduri a tsafta, yanke kuskure da lokacin horo sosai.
Fahimtar Fasaha
Dabarar maɓalli shine hadedde rikodi na matsayi. Daidaitaccen taswirar NeRF aya ta hanyar sine da ayyukan cosine a mitoci da yawa. Mip-NeRF a maimakon haka yana ƙayyadaddun damuwa na conical a matsayin Gaussian iri-iri kuma yana ƙididdige ƙimar da ake tsammani na waɗannan sinusoids akan wancan Gaussian. Fasalolin mitoci masu girma waɗanda suka bambanta da yawa a cikin babban abin takaici ana rage su ta atomatik zuwa sifili, ya zuwa yanzu ko yankuna masu ƙarfi suna amfani da bayanan ƙarancin mitoci kaɗan kawai - daidai yanayin hana ɓarna na mipmaps a cikin zane-zane na gargajiya.
Dabarun Tasiri
Gudu da sikelin
Kayayyakin AI na iya sarrafa aiki da bincike, ganowa, da ayyuka masu alama a sikelin.
Gina zaɓuɓɓuka
Ƙungiyoyin ƙirƙira za su iya samar da ra'ayoyi cikin sauri tare da ƙarancin bita da hannu.
Ƙungiya da aikin aiki
Ayyuka na iya amfani da siginar hoto da bidiyo waɗanda a baya suke da wahalar aiwatarwa.
Makomar Mip-NeRF da Filayen Radiance na Anti-Aliased
Mip-NeRF ta ƙaddamar da dangi na filayen da ba a san su ba. Mip-NeRF 360 ya tsawaita mazugi zuwa wuraren da ba a iya iyaka da su na waje tare da warp, kuma Zip-NeRF ya haɗa mazugi na tushen anti-aliasing tare da wakilcin grid mai sauri don samun inganci da sauri. Yi tsammanin ra'ayin haɗin kai don ci gaba da ƙaura zuwa cikin Gaussian splatting da bututun bututun lokaci na gaske, inda multiscale, ba da laƙabi na kyauta akan wayoyi da naúrar kai shine makasudin AR, taswira, da kamawa mai zurfi.
Aiwatar da Gaskiyar Duniya
Bayar da abin da aka kama da tsafta a cikin mai duba samfur wanda zai baiwa masu amfani damar zuƙowa daga cikakken ɗakin kallo zuwa ƙasa mai kyau ba tare da ɓata lokaci ba.
Sake gina manyan filaye na waje (ta hanyar Mip-NeRF 360) don yawon shakatawa na yau da kullun da kuma abubuwan tafiya na ƙasa inda kamara ke motsawa ta cikin zurfin zurfin zurfi.
Samar da daidaitattun hotunan horarwa a ƙuduri da yawa don injiniyoyin mutum-mutumi ko na'urorin motsa jiki masu zaman kansu.
Samar da firam ɗin ra'ayi na sabon labari don fim da previsualization na VFX inda aliasing zai karya harbi.
Hatsari & Tsare-tsare
Haƙƙoƙin hoto da yarda na iya zama haxarin doka idan ba a fayyace ba.
Ayyukan samfuri na iya bambanta a ko'ina cikin haske, ƙididdiga, da mahalli.
Ƙarya tabbataccen ƙila ba za a iya lura da shi ba sai dai idan an kula da ƙofofin amincewa.
Taswirar Hanya
Ƙayyade ma'auni na karɓa don daidaito, tunowa, da farashi na kuskure.
Gwada tare da bayanan da suka dace da ainihin yanayin samarwa.
Ƙara bita na ɗan adam don ƙarancin amincewa ko tsinkaya mai tasiri.
Bi diddigin ƙirar ƙira kuma sake ingantawa bayan canje-canjen kamara ko saitin bayanai.
Ci gaba da Bincike
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Jagora na gaba
Filin Radiyan Jijiya
Tambayoyin da ake yawan yi
What is Mip-NeRF and Anti-Aliased Radiance Fields?
Mip-NeRF yana gyara blur, jakunkunan kayan tarihi waɗanda ke addabar ainihin NeRF lokacin da kuke yin fage a nesa ko ƙuduri daban-daban. Yana yin haka ta hanyar gano mazugi maimakon haskoki marasa iyaka, yin yanayin 3D yana mai da hankali da sauri don horarwa.
Wane nau'i na geometric ne Mip-NeRF ya gano ta wurin wurin maimakon siraren ray da ainihin NeRF ke amfani dashi?
Mip-NeRF yana jefa mazugi daga kamara ta kowane pixel kuma ya raba shi zuwa abubuwan takaici, yana ɗaukar ƙarar pixel a zahiri.
Menene sunan mip-NeRF's codeing wanda ya maye gurbin daidaitaccen rufaffen matsayi?
Mip-NeRF yana gabatar da haɗe-haɗen rikodi na matsayi, wanda ke ɓoye yanki (ƙimar takaicin Gaussian) maimakon maki ɗaya.
Me yasa ainihin NeRF ke samar da laƙabi lokacin da nisan kyamara ya canza?
Samfurin madaidaicin ray yana watsi da sawun pixel, don haka pixels na kusa da na nesa ana bi da su iri ɗaya, suna haifar da jaggies da flickering.
Ta yaya Mip-NeRF ke kimanta yankin da ke cikin abin takaici don ɓoyewa?
Kowane takaici yana da kusan Gaussian iri-iri, kuma rufaffen yana ƙididdige ƙimar da ake tsammani na sinusoids akan wancan Gaussian.
Me zai faru da fasalulluka na rikodi mai girma a cikin babban takaici?
Saboda babban mitar sinusoids sun bambanta da yawa a cikin babban takaici, haɗawa akan Gaussian yana motsa su zuwa sifili, yana ba da mipmap-kamar anti-aliasing.